Collective Classification in Semantic Mapping with a Probabilistic Description Logic

Probabilistic Relational Reasoning in Semantic Robot Navigation

We examine the use of semantic web resources in robot navigation; more specifically, in qualitative navigation where uncertain reasoning plays a significant role. We propose a framework for robot navigation that connects existing semantic web resources based on probabilistic description logics, with probabilistic relational learning and planning. We show the benefits of this framework in a real...

Semantic Mapping with a Probabilistic Description Logic

P- : A Probabilistic Extension of for Probabilistic Ontologies in the Semantic Web

Ontologies play a central role in the development of the semantic web, as they provide precise definitions of shared terms in web resources. One important web ontology language is DAML+OIL; it has a formal semantics and a reasoning support through a mapping to the expressive description logic ! with the addition of inverse roles. In this paper, we present a probabilistic extension of ! , called...

A probabilistic Framework for Information Integration and Retrieval on the Semantic Web

We present a framework for probabilistic Information Processing on the Semantic Web that is capable of representing ontologies, deductive databases, uncertain mappings between them, results of statistical instance classification and ontology learning. Our framework is built on a knowledge representation formalism called Bayesian Description Logic Programs because it is a probabilistic extension...

A Framework for Representing Ontology Mappings under Probabilities and Inconsistency

Creating mappings between ontologies is a common way of approaching the semantic heterogeneity problem on the semantic web. To fit into the landscape of semantic web languages, a suitable, logic-based representation formalism for mappings is needed. We argue that such a formalism has to be able to deal with uncertainty and inconsistencies in automatically created mappings. We analyze the requir...